Building a Computing Environment to Support Analytics
summary
Spencer Stuart builds a cloud analytics environment from scratch starting in 2018, targeting internal and external structured and unstructured sources (resumes, LinkedIn, HR systems) while complying with GDPR CCPA and EEOC requirements. The stack centers on a central data store backed by a cloud data lake, shared code repositories with git versioning, and a cloud-enabled sandbox for prototyping. Key lessons: start with must-haves, engage IT and info‑security early, hire data architects, budget for external data fees and scalable CPU/job controls.
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chapters (8)
- 0:00Intro
- 2:23Considerations for People Analytics: Data
- 4:34Considerations for People Analytics: Systems
- 5:33Considerations for People Analytics: Regulatory Environments
- 7:05Considerations for People Analytics: HRTech
- 8:16Defining Computing Environment Needs
- 10:01Start of Our Journey - Roadblocks, Successes
- 13:23Recommendations, Lessons Learned
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